IoT systems in the process of multidisciplinary training of personnel for the digital economy and their design

Abstract

In the context of digitalization of the most knowledge-intensive sectors of the domestic economy, the development of an industrial training system in the field of electronic instrumentation is of great importance. The key areas of its development with the use of information and communication technologies include the development and improvement of the technological basis for training and retraining of personnel in engineering educational programs. One of the elements of this basis is the service of multi-user remote access via the internet to a high-tech experimental equipment laboratory as a service based on internet of things (IoT) systems. Within the framework of this service, an urgent problem is to increase the functional saturation of automated stands/installations, which is currently characterized by a paucity of scientific research. The purpose of the research is to expand the areas of experimental research carried out in the mode of multiuser remote access based on specialized IoT systems. As a result, a method of multidisciplinary application of specialized IoT systems was developed. This consists of the technical implementation of possibilities for additional research: research into technologies underlying both multi-user distributed measuring and control systems and IoT systems in general; research into technologies used in their end-to-end computer-aided design; research into joint interaction of several geographically distributed automated stands/installations, implemented on the basis of a four level IoT reference architecture. A methodology for the design of multi-user distributed measuring and control systems as specialized IoT systems has also been developed, focused on solving multidisciplinary research problems in an interactive dialogue mode based on single sample of experimental equipment. The methodology mobilizes organizational, technical and methodological support for the process of creating such systems with specified target characteristics. In general, the method and methodology developed open up opportunities for systematically implementing the basic principles of the “Education 4.0” concept in the preparation and retraining of engineering personnel in the field of electronic instrumentation.

The development of a model for the personalized learning path using machine learning methods

“…The fixed factors' use mainly worsens the result, as can be seen from the graphs (Fig. [4][5][6][7][8][9][10][11]. This may be due to the small size of the data set.…”

“…Many studies note [6][7][8] that it is possible to overcome the key barriers of digital transformation in the form of a shortage of qualified personnel, competencies and knowledge, as well as internal resistance in organizations [9][10] by creating a system of training and staff development. This system is based on the formation of a personalized learning path [11] relying on the values of the organization and the employee and relevant educational material, in other words, on those objects, actions, tasks, which the employee will perform with increased interest and, as a result, with maximum efficiency.…”